Predicting Dichotomous Outcomes: Logistic Regression, and Receiver Operating Characteristic

The prelims comprise: The aim of logistic regression The logistic model Using Stata for logistic regression analysis The receiver operating characteristic curve Indicator variables in logistic regression Testing the linear trend Evaluating how well the logistic model fits the data Using Stata to compute sensitivity and specificity Key points in evaluating a logistic model